Senior Manager, Data Engineer, Clinical Operations
Core
Building and optimizing cloud-based data platforms and GenAI applications to support clinical trial operations, feasibility, and forecasting.
Role type
Senior Manager, Data Engineer (Clinical Operations)
Builds
Cloud-native data ecosystems, GenAI/LLM-powered applications, and self-service data discovery tools for clinical R&D.
Domain
Life Sciences / Clinical Trial Operations
Deliverable
production ML models
Required skills
Databricks (Delta Lake, Unity Catalog, Workflows, Mosaic AI, MLflow), Python, SQL, Spark (PySpark), GenAI frameworks, LLM architectures, RAG, prompt engineering, agentic frameworks, cloud-native data platforms, ETL/ELT pipeline design, data modeling, DevOps, semantic analytics.
Preferred skills
Databricks certification, domain knowledge in Clinical Trial Delivery (feasibility, site selection, forecasting), familiarity with clinical trial management systems (Veeva Vault, Medidata Rave, IRT).
Technologies
Databricks, Delta Lake, Unity Catalog, Mosaic AI, MLflow, Python, SQL, Spark, GenAI frameworks, LLMs, RAG, vector embeddings.
Responsibilities
Develop and enhance data solutions to accelerate data usage across clinical R&D; optimize data platform for performance, scalability, and cost-effectiveness; enforce data governance and manage metadata using Unity Catalog; build and deploy GenAI-powered applications for efficiency and compliance; mentor junior analysts and vendors on technical best practices.
Seniority
Senior Manager, hands-on IC with leadership responsibilities.